def test_add_self_loops_sparse():
source = csc_matrix(test_matrices[3][0])
target = np.matrix(test_matrices[3][1])
looped = mc.add_self_loops(source, 2).todense()
assert np.array_equal(looped, target)
lv = 1.2940192
for _ in range(100):
x = np.random.randint(0, 2, size=(5, 5)) * np.random.rand(5, 5)
x_cs = csc_matrix(x)
np.fill_diagonal(x, lv)
assert np.allclose(x, mc.add_self_loops(x_cs, lv).todense())
def test_add_self_loops_sparse():
source = csc_matrix(test_matrices[3][0])
target = np.matrix(test_matrices[3][1])
looped = mc.add_self_loops(source, 2).todense()
assert np.array_equal(looped, target)
def test_add_self_loops():
source = np.matrix(test_matrices[3][0])
target = np.matrix(test_matrices[3][1])
looped = mc.add_self_loops(source, 2)
assert np.array_equal(looped, target)